AI / Cloud Support Engineer at Virtusa
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Jun 28, 2026
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Jul 20, 2026
What this job asks for AI summary
An offshore L2/L3 support role based in Chennai, focused on keeping a live enterprise Agentic AI solution running on Microsoft Azure. Day-to-day work covers incident triage, root cause analysis, platform health monitoring via Application Insights and Dynatrace, MLOps and CI/CD pipeline support, and Terraform-assisted configuration changes. Suits an experienced Azure cloud/application support engineer comfortable with AI and PaaS services in a follow-the-sun rotation model.
Mid level · 4+ years · Chennai, India · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $99,130 (middle half $78,010–$126,640).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
This role is based in Chennai, India (offshore); US-based benchmarks will not apply.
The SOC classification is a close call: the role is primarily operational support and incident management (15-1244), but it also involves Terraform-based configuration changes, CI/CD pipeline support, and scripting, which edge toward 15-1252. The operational/support framing ('L2/L3', 'runbooks', 'ITIL', 'follow-the-sun') tips the balance to 15-1244.
Azure OpenAI and Cognitive Services are listed together as examples of AI/LLM services under the required qualifications; they are captured as a single skill with an alternative.
PowerShell, Python, and Bash are presented as interchangeable scripting options ('proficiency in scripting with PowerShell, Python, or Bash'); captured as one skill with alternatives.
Terraform appears in both the required qualifications (as 'Exposure to … Terraform') and the preferred section ('Familiarity with Terraform and GitHub Actions'). The required-section mention is treated as the governing gate; GitHub Actions is preferred-only as it appears solely under Preferred Skills.
Kafka and MLOps appear in the responsibilities narrative and/or preferred section rather than as explicit required qualifications, so they are marked preferred.
AZ-104 certification is listed under Preferred Skills.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): Azure Cache for Redis, Azure API Management.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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